https://scholars.lib.ntu.edu.tw/handle/123456789/581246
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Tun L.J | en_US |
dc.contributor.author | Janaka Rajapakse R.P.C | en_US |
dc.contributor.author | Miyata K. | en_US |
dc.contributor.author | YI-PING HUNG | - |
dc.creator | Tun L.J;Janaka Rajapakse R.P.C;Hung Y.-P;Miyata K. | - |
dc.date.accessioned | 2021-09-02T00:08:00Z | - |
dc.date.available | 2021-09-02T00:08:00Z | - |
dc.date.issued | 2020 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100010050&doi=10.1109%2fAIVR50618.2020.00078&partnerID=40&md5=279ec6543de2a82ae140a5995d2d8d1a | - |
dc.identifier.uri | https://scholars.lib.ntu.edu.tw/handle/123456789/581246 | - |
dc.description.abstract | The main purpose of virtual reality is to immerse a user in a virtual environment. However, the most common criticism of companion robotics is that they are not able to provide effective tactile feedback. In this research, we will propose an interactive companion doll that has a tail mechanism controlled by the user's hand gestures as well as generate sound feedback by applying OSC and Wekinator. For the VR content, we designed six emotions for the companion doll to be able to provide the user with different feelings while they are interacting with the companion doll in the virtual and physical worlds. ? 2020 IEEE. | - |
dc.relation.ispartof | Proceedings - 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020 | - |
dc.subject | Gesture Recognition; Hand Tracking; Robotic Tail; VR Interaction | - |
dc.subject.other | Feedback; Virtual reality; Hand gesture; Immersive; Physical world; Sound feedback; Sound generation; Tactile feedback; Machine learning | - |
dc.title | Implementations of the Gesture-based Immersive Interaction and ML-driven Sound Generation for Haptic Companion Doll | en_US |
dc.type | conference paper | en |
dc.identifier.doi | 10.1109/AIVR50618.2020.00078 | - |
dc.identifier.scopus | 2-s2.0-85100010050 | - |
dc.relation.pages | 375-379 | - |
item.cerifentitytype | Publications | - |
item.fulltext | no fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_5794 | - |
item.openairetype | conference paper | - |
item.grantfulltext | none | - |
crisitem.author.dept | Networking and Multimedia | - |
crisitem.author.dept | Computer Science and Information Engineering | - |
crisitem.author.dept | Intel-NTU Connected Context Computing Center | - |
crisitem.author.dept | MediaTek-NTU Research Center | - |
crisitem.author.orcid | 0000-0002-9373-2184 | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | Others: University-Level Research Centers | - |
crisitem.author.parentorg | Others: International Research Centers | - |
crisitem.author.parentorg | Others: University-Level Research Centers | - |
顯示於: | 電機工程學系 |
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